ArticleEGEMS (Washington, DC)2019
Clinical Workflow and Substance Use Screening, Brief Intervention, and Referral to Treatment Data in the Electronic Health Records: A National Drug Abuse Treatment Clinical Trials Network Study.
Article in EGEMS (Washington, DC), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Organizational Acceptability of Implementing SBIRT for Adolescents in Primary Care.Substance use & misuse · 2021Trial
- Challenges using electronic health records to support unhealthy alcohol use screening and intervention in primary care practices in the Pacific Northwest.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- Identifying Patients at Risk for Alcohol-Exposed Pregnancies: The Importance of Addressing Multiple Risk Factors.Substance use & addiction journal · 2025Article
- Integrating qualitative insights with large secondary data: a protocol for a community-engaged mixed-methods study on adolescent substance use.Frontiers in public health · 2025Article
- Postpartum Opioid-Related Mortality in Patients With Public Insurance.Obstetrics and gynecology · 2023Article
- Automated detection of substance use information from electronic health records for a pediatric population.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Using a health information technology survey to explore the availability of addiction treatment data in the electronic health records: A National Drug Abuse Treatment Clinical Trials Network study.Journal of substance abuse treatment · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
introductionThe use of electronic health records (EHR) data in research to inform recruitment and outcomes is considered a critical element for pragmatic studies. However, there is a lack of research on the availability of substance use disorder (SUD) treatment data in the EHR to inform research.
methodsThis study recruited providers who used an EHR for patient care and whose facilities were affiliated with the National Institute on Drug Abuse's National Drug Abuse Treatment Clinical Trials Network (NIDA CTN). Data about providers' use of an EHR and other methods to support and document clinical tasks for Substance use screening, Brief Intervention, and Referral to Treatment (SBIRT) were collected.
resultsParticipants (n = 26) were from facilities across the country (South 46.2%, West 23.1%, Midwest 19.2 percent, Northeast 11.5 percent), representing 26 different health systems/facilities at various settings: primary care (30.8 percent), ambulatory other/specialty (26.9 percent), mixed setting (11.5 percent), hospital outpatient (11.5 percent), emergency department (7.7 percent), inpatient (3.8 percent), and other (7.7 percent). Validated tools were rarely used for substance use screen and SUD assessment. Structured and unstructured EHR fields were commonly used to document SBIRT. The following tasks had high proportions of using unstructured EHR fields: substance use screen, treatment exploration, brief intervention, referral, and follow-up.
conclusionThis study is the first of its kind to investigate the documentation of SBIRT in the EHR outside of unique settings (e.g., Veterans Health Administration). While results are descriptive, they emphasize the importance of developing EHR features to collect structured data for SBIRT to improve health care quality evaluation and SUD research.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.